MoonPay07.03.26
AI SCORE 8.5

Senior Product Data Scientist - Remote Role at MoonPay

$140K–$180K/year

About the Role

We're hiring a Senior Product Data Scientist to join our innovative team at MoonPay. In this remote role, you will play a crucial part in shaping our product and payments strategy through data analysis, experimentation, and collaboration with stakeholders. Your insights will drive meaningful business impact and help us onboard the world to the decentralized economy.

What You'll Do

  • Provide insights and recommendations to stakeholders based on a deep understanding of MoonPay products, identifying opportunities for product improvements.
  • Work closely with our payments product vertical and business stakeholders to review product performance and deliver data-driven strategies for optimization.
  • Define KPIs, design tracking, and set up monitoring for new product launches and changes.
  • Oversee and implement A/B tests and other experiments to drive optimization efforts.
  • Design, build, and scale both internal and external data products that drive informed decision-making, such as dashboards, reports, and data models.
  • Communicate complex concepts and findings to technical and non-technical audiences, ensuring clarity and understanding to drive critical business decisions.

Requirements

  • 4+ years of hands-on experience as a data scientist or data analyst, preferably in a product-focused role.
  • Advanced SQL, data modeling, and data visualization tools are second nature to you.
  • Understanding of statistics and probability, with experience in conducting large-scale A/B tests.
  • Experience working with product teams in an analytics role.
  • An active interest in cryptocurrency and previous interaction with crypto/blockchains.
  • Experience in the fintech and/or crypto space is preferred.
  • Exceptional communication skills to summarize complex data findings for various audiences.

Nice-to-Have

  • Experience with DBT, Google BigQuery, Looker, and Python.
  • Experience in start-ups or scale-ups.
  • Working knowledge of Machine Learning principles.

What We Offer

  • Competitive salary package.
  • Equity package for all employees.
  • Pay for performance equity bonus.
  • Unlimited holidays for work-life balance.
  • Hybrid working schedule with remote options.
  • Private healthcare benefits.
  • Annual training budget for professional development.
  • Home office setup allowance.
  • Remote working allowance for utilities.

Join us at MoonPay and help shape the future of payments and the decentralized economy. This Senior Product Data Scientist role offers an exciting opportunity to influence product strategy and customer experience in a rapidly growing industry.

Why This Job8.5 of 10

This Senior Product Data Scientist role at MoonPay offers a unique opportunity to influence product strategy in the rapidly growing crypto space. With competitive salary and equity options, it's an attractive position for data professionals.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Expert proficiency in SQL and Python for complex data manipulation and analysis, with a strong ability to build and optimize data models that support product development.

A self-motivated and disciplined work ethic suited for remote collaboration, demonstrating the ability to manage time effectively and prioritize tasks independently in a fast-paced environment.

A strategic mindset with experience in A/B testing and machine learning to derive actionable insights from data, coupled with an entrepreneurial spirit that aligns with the innovative culture at MoonPay.

Learning Resources

SQL for Data Sciencecourse

Career Path

Senior Product Data Scientist(Now)Lead Data Scientist(1-2 years)Director of Data Science(3-5 years)

Market Overview

SQL Market Size 2024
$12.5B
Annual Growth
10.2%
AI Adoption in Data Analytics
65%
Investment in Data Science Tools
+150%
Labour Demand for Data Scientists
+28%
Avg Salary for Senior Data Scientists
$130K

Skills & Requirements

Required
SQLData ModelingData Visualization
Growing in Demand
Data EngineeringCloud Computing (e.g., AWS, Azure)Advanced Machine Learning Techniques
Declining
Excel for Data AnalysisTraditional Data Warehousing (e.g., Teradata)

Domain Trends

Increased Demand for Real-time Analytics
With 70% of companies prioritizing real-time data processing, skills in streaming data technologies are becoming essential.
Rise of NoSQL Databases
As organizations shift towards unstructured data, NoSQL databases like MongoDB have seen a 40% increase in adoption, impacting traditional SQL roles.
Integration of AI in Data Visualization
AI-driven data visualization tools are projected to grow by 35% in the next two years, emphasizing the need for data scientists to adapt and leverage these technologies.

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